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Analysis of the application characteristics of the acute liver injury animal model based on data mining / 中国比较医学杂志
Article in Zh | WPRIM | ID: wpr-1025118
Responsible library: WPRO
ABSTRACT
Objective To investigate the modeling elements of various types of animal models for acute liver injury,and to provide references and suggestions to establish and evaluate animal models of acute liver injury(ALI).Methods The animal experimental literature of ALI from 2002 to 2022 was searched in the databases of the China Knowledge Network,WanFang,Chongqing Vip(VIP),Chinese Medical Journal Full Text Data(Yiigle),and PubMed.The animal species,positive control drugs,modeling method,modeling drugs,and drug administration of the animal models of ALI in the literature were summarized.The result were analyzed using Excel,SPSS Modeler 18.0,and Cytoscape 3.8.2.Results A total of 896 articles were included in the databases.The most used animal models for ALI were male KM mice.The modeling method were mainly chemical liver injury,alcoholic liver injury,drug-related liver injury,and immune liver injury.①The corresponding main modeling method were intraperitoneal injection of 10 mL/kg of 0.1%CC14 in vegetable oil at 24 h before experiments,②gavage of 12.0 mL/kg of 50.0%~56.0%ethanol at 16 h before experiments,③intraperitoneal injection of 300 mg/kg APAP at 24 h before experiments,④tail vein injection of 20 mg/kg Con A at 8 h before experiments.Evaluation of the models was based on liver pathological indexes as the gold standard combined with biochemical indexes of serum ALT,AST,and SOD and MDA contents and activities in liver tissue homogenate as direct indicators.Conclusions Because the causes of ALI vary in clinical practice,the preparation of animal models of ALI should be based on the specific study content and characteristics,and the corresponding modeling method should be selected.
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Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Comparative Medicine Year: 2024 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Comparative Medicine Year: 2024 Type: Article